AI Is a Tool for Humanity
Why AI is a human tool: practical guidance for responsible AI engineering, including safety, transparency, and measurable real-world impact.
AI Engineer and Platform Engineer building production systems that are reliable, secure, and scalable.
I design and ship end-to-end AI applications and cloud platforms, from model integration and retrieval workflows to API design, CI/CD automation, and day-2 operations. My stack spans Azure and AWS, Terraform, Kubernetes, FastAPI, and practical GenAI patterns with LangChain, Transformers, and vector search.
Technical writing
Practical essays on AI engineering, MLOps, cloud architecture, and reliable software delivery.
What is AI Engineering?
What AI engineering means in practice: turning ML demos into trustworthy products with monitoring, reliability, privacy controls, and safe fallbacks.
Continuous Integration and Deployment Explained
CI/CD fundamentals for DevOps teams: continuous integration, automated tests, safe deployment pipelines, and faster, more reliable software delivery.
How Machine Learning Models Work
An intuitive guide to machine learning models: training, evaluation, data quality, overfitting, and monitoring performance in production.
The Role of Cloud Computing in AI
How cloud computing powers AI: scalable infrastructure, cost control, security tradeoffs, and cloud-native MLOps patterns for production workloads.
DevOps Principles for Beginners
A beginner-friendly DevOps primer on shared ownership, automation, rapid feedback loops, and shipping reliable cloud software with confidence.
Experience Snapshot
- Company
- Visible Edge
- Role
- AI, ML and DS Specialist
- Date
- Company
- VivSoft
- Role
- Systems Engineer II
- Date
- Company
- Slalom Consulting
- Role
- Platform Engineer
- Date